Konar, "Feature Extraction using Wavelet Transform for Multi-class Fault Detection of Induction Motor," J. Inst. Eng. Ser. B, vol. 95, no. 1, May 2014, pp. 73-81.Chattopadhyay, P., Konar, P.: Feature extraction using wavelet transform for multi-class fault detection of induction motor...
Different strategies based on discrete wavelet transform (DWT) and wavelet packet transform (WPT) are utilized for feature extraction. After that, the linear mapping has been applied from wavelet domain to principal components analysis (PCA) domain for dimension reduction. Artificial neural networks (...
Wavelets can examine data at different scales and frequencies. The theory behind the wavelets and their suitability for classification is discussed. The authors discuss extraction and how the wavelet transform is implemented. Finally, results of feature extraction are given. 展开 ...
求翻译:Wavelet transform and feature extraction是什么意思?待解决 悬赏分:1 - 离问题结束还有 Wavelet transform and feature extraction问题补充:匿名 2013-05-23 12:26:38 小波变换和特征提取热门同步练习册答案初中同步测控优化设计答案 长江作业本同步练习册答案 名校课堂助教型教辅答案 U计划学期系统复习答案 ...
In steganalysis, there exist a good number of feature extraction techniques; the most commonly used feature extraction technique is based on the Discrete Wavelet Transform (DWT). Almost all of the techniques give a higher detection rate even for short messages, but they are limited to statistical...
WAVELET TRANSFORM MOMENTS FOR FEATURE EXTRACTION FROM TEMPORAL SIGNALS Ignacio Rodriguez Carre?o Department of Electrical and Electronic Engineering, Public University of Navarre, Arrosadia, Pamplona, Spain Email: irodriguez@unavarra.es Marko Vuskovic Department of Computer Science, San Diego State ...
feature extractionAn invariant pattern recognition descriptor is proposed in this paper by using the radon transform, the dual-tree complex wavelet transform ... GY Chen,TD Bui,A Krzy?Ak - 《Pattern Recognition》 被引量: 68发表: 2009年 Improvement in GPR coherent noise attenuation using τ and...
feature extractionwavelet transformThis paper presents a ultrasonic flaw signal classification system by using wavelet transform and support vector machine (SVM)... W Yu - 《Telkomnika Indonesian Journal of Electrical Engineering》 被引量: 1发表: 2013年 加载更多来源...
wavelet transform (DWT), singular value decomposition (SVD), staked CNN architectures, dual-stream deep architecture, dimensionality reduction like principal component analysis (PCA), feature fusion which improves features resulting from feature extraction using deep convolutional neural network (DCNN), and...
Common feature extraction methods include wavelet transform4,5, empirical mode decomposition6,7, variational mode decomposition8, S transform9,10, etc. According to the characteristics of the appropriate classification algorithm, such as: support vector machine11,12,13,14, decision tree15, artificial ...